Image Analysis of Asian Noodle Appearance: Impact of Hexaploid Wheat with a Red Seed Coat
Bibliographic record
Abstract
ABSTRACT Fresh alkaline ( kansui ) and white salted noodles (WSN) prepared from patent and straight‐grade flour of the western Canadian wheat class Canadian Red Spring Wheat (CWRS) were visually characterizedby image analysis (IA) over a 24‐hr period. In both kansui noodles, the number of spots increased over time, while minimal change was detected in the WSN prepared from either flour. Maximum spot generation was observed in the straight‐grade kansui noodles, increasing from 53.1 spots per image at 1 hr to 76.2 by 7 hr before declining to 55.9 at 24 hr. Significant differences were detected in the number of detectable spots among the kansui , patent, and straight‐grade noodles over the initial 7 hr, but by 24 hr no discernible differences were observed. Fewest noodle spots were observed in the patent WSN (10.1 spots per image at 1 hr rising to 13.3 at 24 hr). Hence, straight‐grade flours yielded more spots than the matching patent flours, while WSN had consistently fewer spots relative to the kansui noodles at all time intervals. Minimal differences were detected in the average size of the spots due to noodle type or flour refinement, unlike the situation observed in white wheats investigated previously. Although discolored spots on the patent flour noodles were lighter than the straight‐grade counterparts, no difference was observed on the basis of noodle type.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".